Introduction | Background | Data Preparation | Temporal Disaggregation | Results
Package: DisaggregateTS 3.0.1
Kaveh Salehzadeh Nobari
DisaggregateTS: High-Dimensional Temporal Disaggregation
Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Authors:
DisaggregateTS_3.0.1.tar.gz
DisaggregateTS_3.0.1.tar.gz(r-4.7-any)DisaggregateTS_3.0.1.tar.gz(r-4.6-any)
DisaggregateTS_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DisaggregateTS/json (API)
| # Install 'DisaggregateTS' in R: |
| install.packages('DisaggregateTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- Data - GHG Emissions and Financial Data for IBM
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2a7cb2879c. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 193 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 149 | ||
| wasm-release | OK | 121 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GHG Emissions and Financial Data for IBM | Data |
| Temporal Disaggregation Methods | disaggregate |
| Simulation Diagnostics | simulDiagnosis |
| High and Low-Frequency Data Generating Processes | TempDisaggDGP |